PredictView – Mental Health App
AI-powered mental health assessment tool with privacy-first design and mood tracking.
Category
Web
Client
PredictView
Start Date
N/A
Designer
Arooj Irfan
Project Description
The Mental Health Check App is a core component of the PredictView platform — a forward-thinking health technology solution focused on enhancing mental wellness through AI-driven personalization. The application enables users to conduct self-assessments of their mental health, receive actionable insights, and access curated wellness resources, all within a privacy-first ecosystem.
KEY FEATURES
This wellness tool adapts to each user’s emotional state, delivering intelligent assessments and dynamic recommendations. Designed with a soft, calming UI, it balances privacy, accessibility, and engagement—empowering users to understand and manage their mental health in a safe, judgment-free space.
Adaptive, AI-driven mental health checkups
Real-time visual feedback via progress rings and charts
Personalized reports with stress, anxiety, and fatigue scores
Curated meditation, therapy, and article resources
Mood tracking dashboard with timeline trends
Gamified interface with streaks, badges, and progress cues
Privacy-first data handling with opt-in controls
MY ROLE
I led the design and frontend development of the app, ensuring an emotionally supportive and technically smooth experience. From building adaptive UI flows in Figma to integrating Python-based AI models with a Node.js backend, I handled the end-to-end user journey. I also implemented micro-interactions, mobile responsiveness, and accessibility standards to ensure inclusivity.
UI/UX Design in Figma, focused on calm visuals and empathetic interaction patterns
Frontend Development with React.js, Tailwind CSS, and Framer Motion for smooth transitions
Backend Development using Node.js + Express for data handling and logic
AI Integration with Python-based sentiment models via REST APIs
Developed privacy-safe UX with modals, toggles, and opt-in data handling
Built interactive graphs and mood tracking tools using charts and custom visualizations